AI fuzzing is an automated technique that uses machine learning to generate adversarial inputs at scale. It probes software, AI models, and large language models for exploitable weaknesses. The term covers three distinct practices, and conflating them leads to misallocated budget and misaligned defenses. The organizational stakes are concrete. AI-augmented fuzzing programs are surfacing vulnerabilities ... Read more » The post What is AI fuzzing? How it works and why it matters for cybersecurity